Design of Experiments
Learn the scientific method for designing and conducting effective experiments. You’ll identify the variables that have the greatest impact on product-level quality and use graphical techniques to analyze data.
Success is no accident with design of experiments (DOE). A strategically planned and executed experiment gives you a great deal of information about the effect on a response variable due to one or more factors. You'll get the basics of DOE from this course – scientific method, steps for designing and conducting effective experiments, and statistical and graphical tests for significance. You'll also learn to set up, conduct, and analyze two-level factorial designed experiments. After this course, you'll be able to identify what factors impact quality and what you can do to improve.
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Course Data
- CEU Hours: 0
- Length: 19 Hours
- ASQ RU: 1.9
- Provider: ASQ
Learning Objectives:
- Build a model and check that model.
- Apply the foundation skills necessary to move on to more complex, multilevel designs.
- Understand experimental analysis: main and interactive effects, experimental error, normal probability plots, identification of “active” efforts, and residual analysis.
- Identify the variables that have the greatest impact on product-level quality.
- Understand experimental design essentials, be able to plan an experiment (choose factors, levels, design matrices), and set up, conduct, and analyze a two-level factorial experiment.
- Apply the fundamentals of designed experiments, including comparative experiments, process optimization, and multiple variable designs to continuously improve all product stages.
- Know how to use simple graphical techniques to analyze data.
Prerequisites:
Participants should be able to work with high-school level algebraic formulas. Please note no special software is needed.Who Should Attend:
Quality managers, quality engineers, SPC coordinators, consultants, design engineers, R&D personnel, and product/process engineers.- Scientific method and the art of discovery purpose and types of designed experiments
- Basic statistics
- Comparative experiments
- Boy's shoe example
- Case study in experimental design
- Pilot Plan example
- In-class designed experiment
- Factorial design at two levels
- Main effects and interactions
- Basic principles of experimentation
- Normal probability plots
- Planning the experiment
- Experimental error
- In-class designed experiment
- Fractional factorial designs
- Conducting the experiment
- Analyzing the experiment
- Residual analysis
- Taguchi's quality philosophy and methodology
- Human aspects of designed experiments
| Course Content / Main Topics | % of Time |
|---|---|
| Learning basics: scientific methods, basic statistics, passive/active tools | 10% |
| Application of designed experiments:
comparative experiments and multiple variable experiments |
15% |
| Factorial design: planning and conducting
the experiment, full factorial designs, fractional factorial designs |
45% |
| Experimental analysis: main and interactive
effects, experimental error, normal probability plots, identification of "active" efforts, residual analysis |
25% |
| Taguchi designs: orthogonal arrays,
analysis and comparisons to factorial designs |
5% |
Format
This is a three-day, instructor-led, face-to-face course.
Materials
Each participate will receive a course manual and a T130X-Scientific Calculator.
If you need to cancel, we will refund your paid registration fee as noted below.
- Requests for cancellations or transfers to another course offering received at least 30 calendar days before the start of the course can receive a full refund or transfer.
- There are no refunds within 30 calendar days before the start of the course.
- Requests to transfer to another course offering received between 29 and 10 calendar days of the course starting incur a $150 processing fee.
- There are no transfers within 9 calendar days before the start of the course.
- There are no refunds if the content has been accessed.
- Enrolled students who fail to attend their registered course without advance notice are liable for the entire course fee.
- IMPORTANT: Some courses are delivered by ASQ’s partners and have separate cancellation policies. Please refer to the product page for exact information or contact Customer Care at [email protected].
Enrollment Details
An instructor-led traditional classroom experience. Classroom-based instruction involves the highest level of instructor/student interaction. We offer classroom style training in two formats. See public and on-site.
| No Offerings Scheduled | English | List: $1729 Member: $1499 |
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